3 papers
cs.LG2026
Localized, High-resolution Geographic Representations with Slepian Functions
Arjun Rao, Ruth Crasto, Tessa Ooms +3
Geographic data is fundamentally local. Disease outbreaks cluster in population centers, ecological patterns emerge along coastlines, and economic activity concentrates within coun…
cs.LG2026
Latent Domain Modeling Improves Robustness to Geographic Shifts
Ruth Crasto, Esther Rolf
Geographic distribution shift arises when the distribution of locations on Earth in a training dataset is different from what is seen at inference time. Using standard empirical ri…
cs.CV2025
Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models
Isaac Corley, Lakshay Sharma, Ruth Crasto
The Landsat program offers over 50 years of globally consistent Earth imagery. However, the lack of benchmarks for this data constrains progress towards Landsat-based Geospatial Fo…